diff --git a/GEE_Scripts/LST_download.js b/GEE_Scripts/LST_download.js
index f98db55..74df598 100644
--- a/GEE_Scripts/LST_download.js
+++ b/GEE_Scripts/LST_download.js
@@ -203,7 +203,7 @@ var processed_img = annual_mean_LST.toFloat().unmask(-9999.0);
 print("Start exporting " + year_str + "Yearly Mean LST image (" + crs + ")", processed_img);
 Export.image.toDrive({
   image: processed_img,
-  description: region_name_en + "_LST_" + year_str + "_30m",
+  description: region_name_en + "_Landsat_LST_" + year_str + "_30m",
   folder: "LST",
   region: region, // 添加后会自动裁剪
   scale: 30,
@@ -222,7 +222,7 @@ var processed_modis_img = annual_mean_MODIS_LST.toFloat().unmask(-9999.0);
 print("Start exporting " + year_str + " MODIS Yearly Mean LST image (" + crs + ")", processed_modis_img);
 Export.image.toDrive({
   image: processed_modis_img,
-  description: region_name_en + "_LST_" + year_str + "_1km",
+  description: region_name_en + "_MODIS_LST_" + year_str + "_1km",
   folder: "LST",
   region: region,
   scale: 1000,
diff --git a/GEE_Scripts/Weather_download.js b/GEE_Scripts/Weather_download.js
new file mode 100644
index 0000000..5bbddc2
--- /dev/null
+++ b/GEE_Scripts/Weather_download.js
@@ -0,0 +1,163 @@
+/**
+ * 气象数据下载 —— 以年平均气温与年总降雨量处理下载为例
+ *
+ * @author CVEO Team
+ * @date 2026-01-15
+ *
+ * 1. 加载 ERA5-Land 数据
+ * 2. 合成年度平均气温数据, 年度总降雨量数据
+ * 3. 导出 COG 云优化并填补缺失值的 GeoTIFF 影像 (大区域 GEE 自动分块下载)
+ */
+
+// 加载研究区域和影像
+var region_name = "应城市";
+var region_name_en = "Yingcheng";
+var region = Yingcheng;
+var crs = "EPSG:4526";
+// var region_name = "保康县";
+// var region_name_en = "Baokang";
+// var region = Baokang;
+// var crs = "EPSG:4525";
+var start_year = 2021;
+var end_year = 2025;
+var start_date = start_year + "-01-01";
+var end_date = end_year + "-12-31";
+var ERA5Bands = ["temperature_2m", "total_precipitation_sum"];
+var commonBands = ["temperature", "total_precipitation_sum"];
+
+var region_geo = region.geometry();
+var bounds = region_geo.bounds();
+var common_filter = ee.Filter.and(
+  ee.Filter.bounds(bounds),
+  ee.Filter.date(start_date, end_date)
+);
+
+/**
+ * 开尔文转摄氏度
+ * @param {ee.Image} image Landsat LST image
+ * @returns {ee.Image} Landsat LST image in Celsius
+ */
+function kelvinToCelsius(image) {
+  return ee.Image(image.expression("B1 - 273.15", { B1: image.select("temperature") }))
+    .copyProperties(image)
+    .copyProperties(image, ["system:time_start", "system:index", "system:id"]);
+}
+
+// 加载 ERA5-Land 数据
+var ERA5dataset = ee.ImageCollection("ECMWF/ERA5_LAND/MONTHLY_AGGR")
+  .filter(common_filter)
+  .select(ERA5Bands, commonBands)
+print(start_date + " - " + end_date + " ERA5-Land dataset", ERA5dataset);
+var ERA5Tempdataset = ERA5dataset.select("temperature").map(kelvinToCelsius);
+var ERA5Raindataset = ERA5dataset.select("total_precipitation_sum");
+
+// 合成年度平均 ERA5-Land 气温数据
+var years = ee.List.sequence(start_year, end_year);
+var yearlyTemp = ee.ImageCollection.fromImages(
+  years.map(function (y) {
+    return ERA5Tempdataset.filter(ee.Filter.calendarRange(y, y, "year"))
+      .mean()
+      .set("year", y);
+  })
+);
+var yearlyRain = ee.ImageCollection.fromImages(
+  years.map(function (y) {
+    return ERA5Raindataset.filter(ee.Filter.calendarRange(y, y, "year"))
+      .sum()
+      .set("year", y);
+  })
+);
+if (start_year == end_year) {
+  var year_str = start_year;
+} else {
+  var year_str = start_year + "-" + end_year;
+}
+print(year_str + " Annual Mean ERA5-Land temperature dataset", yearlyTemp);
+print(year_str + " Annual Mean ERA5-Land rainfall dataset", yearlyRain);
+
+// 合成处理后会丢失投影信息, 需要重新设置投影
+var proj = ERA5dataset.first().select(1).projection();
+var annual_mean_temperature = ee.Image(yearlyTemp.mean()).setDefaultProjection(proj);
+print(year_str + " Annual Mean ERA5-Land temperature Histogram", ui.Chart.image.histogram(annual_mean_temperature, region, 10000, 258));
+
+var annual_mean_rainfall = ee.Image(yearlyRain.mean()).setDefaultProjection(proj);
+print(year_str + " Annual Mean ERA5-Land rainfall Histogram", ui.Chart.image.histogram(annual_mean_rainfall, region, 10000, 258));
+
+var annual_mean_temp_1km = annual_mean_temperature.clip(bounds).resample("bicubic").reproject({
+  crs: proj,
+  scale: 1000,
+});
+var annual_mean_rainfall_1km = annual_mean_rainfall.clip(bounds).resample("bicubic").reproject({
+  crs: proj,
+  scale: 1000,
+});
+
+var temperature_vis = {
+  min: -20,
+  max: 30,
+  palette: [
+    '040274', '040281', '0502a3', '0502b8', '0502ce', '0502e6',
+    '0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef',
+    '3be285', '3ff38f', '86e26f', '3ae237', 'b5e22e', 'd6e21f',
+    'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08', 'ff500d',
+    'ff0000', 'de0101', 'c21301', 'a71001', '911003'
+  ],
+};
+
+var precipitation_vis = {
+  min: 0,
+  max: 2,
+  palette: [
+    '000096', '0064ff', '00b4ff', '33db80', '9beb4a',
+    'ffeb00', 'ffb300', 'ff6400', 'eb1e00', 'af0000'
+  ],
+};
+
+var styling = {
+  color: "blue",
+  fillColor: "00000000",
+};
+
+Map.centerObject(region, 7);
+Map.addLayer(annual_mean_temperature, temperature_vis, year_str + " ERA5-Land Annual Mean temperature 0.1 degree");
+Map.addLayer(annual_mean_rainfall, precipitation_vis, year_str + " ERA5-Land Annual Mean precipitation 0.1 degree");
+Map.addLayer(annual_mean_temp_1km, temperature_vis, year_str + " ERA5-Land Annual Mean temperature 1km");
+Map.addLayer(annual_mean_rainfall_1km, precipitation_vis, year_str + " ERA5-Land Annual Mean precipitation 1km");
+Map.addLayer(region.style(styling), {}, region_name);
+
+// 导出合并后的影像
+// 明确设置数据类型为Float32, 否则默认类型为Float64, 会占用更多内存
+// 并对缺失值进行填充, 否则默认为nan不便于后续本地处理
+var processed_temp_img = annual_mean_temperature.toFloat().unmask(-9999.0);
+print("Start exporting " + year_str + "Yearly Mean ERA5-Land temperature image (" + crs + ")", processed_temp_img);
+Export.image.toDrive({
+  image: processed_temp_img,
+  description: region_name_en + "_ERA5_Temperature_" + year_str + "_1km",
+  folder: "Weather",
+  region: region, // 添加后会自动裁剪
+  scale: 1000,
+  crs: crs,
+  maxPixels: 1e13, // GEE 最多支持 1e8 像素, 当超过时会自动分块
+  fileFormat: "GeoTIFF",
+  // 导出COG云优化的GeoTIFF影像, 并明确设置缺失值为-9999.0
+  formatOptions: {
+    cloudOptimized: true,
+    noData: -9999.0,
+  },
+});
+
+var processed_rain_img = annual_mean_rainfall.toFloat().unmask(-9999.0);
+Export.image.toDrive({
+  image: processed_rain_img,
+  description: region_name_en + "_ERA5_Precipitation_" + year_str + "_1km",
+  folder: "Weather",
+  region: region,
+  scale: 1000,
+  crs: crs,
+  maxPixels: 1e13,
+  fileFormat: "GeoTIFF",
+  formatOptions: {
+    cloudOptimized: true,
+    noData: -9999.0,
+  },
+});
\ No newline at end of file